free uksg webinar - altmetrics for librarians: a publisher dashboard, a university use case

24
By Timon Oefelein Springer, Account Development Manager, North Western Europe Altmetrics for Librarians: a publisher dashboard, a university use case

Upload: timon-oefelein

Post on 14-Aug-2015

150 views

Category:

Presentations & Public Speaking


0 download

TRANSCRIPT

By Timon Oefelein

Springer, Account Development Manager, North Western Europe

Altmetrics for Librarians: a publisher dashboard, a university use case

1. Definition of key terms

2. Usage and citation metrics

3. Altmetrics = the missing puzzle piece

4. Dashboard for books and journals

5. A note on all the numbers

6. Important things to remember!

7. The rise of altmetric data

8. Correlation analysis

9. What‘s next?

10. 2:AM Amsterdam 2015

Table of Contents

• Usage or downloads (COUNTER stats)

• Scholarly citations (CrossRef, GoogleScholar, Scopus)

• Non-scholarly citations:

Policy documents

Blogs

Wikipedia

News

Social media: Twitter, Weibo, Facebook, Google+, Pinterest, Reddit

• Reads on Online Reference Managers:

Mendeley, CiteYouLike

• Other sources:

YouTube, Reviews in F1000, PubPeer..

1. Definition of key terms

AltmetricsArticlel-mevel

Metrics

2. Usage metrics

SpringerLink.com Springer.com

2. Citation metrics

SpringerLink.com Springer.com

3. Altmetrics = the missing piece of impact puzzle

• Usage and citations tell story about academic performance of article• However, the metrics do not give insight into wider societal impact:

Are policy makers citing and acting on the research? Is the media discussing the research? Is the public/academia discussing research on social media? And further, what is the size, speed, and demographic nature, of this

societal response to research?

• The new altmetric data begins to answer these questions • And therefore provides the „missing piece“ of the impact puzzle

4. New metrics dashboard for books!

New metrics dashboard

4. The dashboard for books

Data Sources

4. Click and the metrics take you here!

Whole Book

Chapters

4. Example of mentions in social media

4. Example of Mendeley readers and demographics

Click here to go to Mendeley for number of readers per chapter

• Mainstream media

Over 1000 outlets, see Altmetric.com for full list• Blogs

Manual list of over 8000 academic and non-academic blogs• Policy documents

Mainly English language but increasingly international • Online Reference Managers

Mendeley and Cite You Like• Post Publication: PubPeer, Publons• Social Media:

Twitter, Facebook, Google+, Pinterest, Reddit, Sina-Weibo, • Other Sources

Wikipedia, Reviews in F1000, YouTube, etc.

4. Social media sources (tracked since 2011)

Mentions

4. SpringerLink – new altmetrics dashboard

Citations

4. Special citations page on Springer.com

Social media authors or unique sources

4. Linkout is to article’s entry in Altmetric.com

• SpringerLink shows the raw data or total number of mentions, 574 mentions

• Altmetric.com shows the total number of „unique sources“, 486 sources

• Altmetric.com shows weighted score, 379 (only for articles, not for chapters!)

5. A note on all the numbers

• Using a scoreboard, each „mentioned by“ source is assigned points

• Blogs, Google+, Facebook sources: straightforward point conversion • News and Twitter, Score modifiers:

News: 1-10 points, depending one of four tiers Twitter: Re-tweets/re-posts = 0.85 points rather than 1 point Also, profile of tweeter is analyzed for reach, promiscuity, bias

• All points are added up for the final Altmetric Score• Mendeley and CiteYouLike readers are excluded from the calculation

5. Altmetric scoreboard and modifiers

10

• Each day, Altmetric tracks 44 000 new mentions • Each week, 50 000 unique articles are shared• So far, nearly 4 million articles and DOIs have been mentioned• Mentions range in complexity, from quick shares to reviews

6. The rise of altmetric data

1. Altmetric data measures attention and not quality

2. Altmetric data measures public attention and not private attention

3. There are different types of data

4. Scores are not normalized and do not reflect norms within subject areas

5. Look beyond the numbers for a story of impact

6. Correlation studies: low correlation between altmetric attention & citations moderate correlation between altmetric attention & downloads

7. Things to remember!

8. Correlation analysis

9. What’s next!

00001100010010101010101010010101011001010100010101001010101010101010101010101010011001010101010101010101011111100101010101010101000011111111

DOI

Dataset

?

10. Want to learn more!

• www.altmetricsconference.com/• 7-8 October 2015

• Amsterdam • Keynote talk by Simon Singh• Travel grants available, apply by 31 July• See you there! • Supported by:

Thank You!

For Questions:

Martijn Roelandse: [email protected] Innovation Manager

Timon Oefelein: [email protected] Development Manager, NW Europe

Altmetric.com: [email protected]